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Do consumers gamble to convexify?

Author

Listed:
  • Thomas Crossley

    (Institute for Fiscal Studies and University of Essex and European University Institute)

  • Hamish Low

    (Institute for Fiscal Studies and University of Oxford & Nuffield College)

  • Sarah Smith

    (Institute for Fiscal Studies and University of Bristol)

Abstract

When consumption goods are indivisible, individuals have to hold enough resources to cross a purchasing threshold. If individuals are liquidity constrained, they are unable to borrow to cross that threshold. Instead, we show that such individuals, even if risk averse, may choose to play gamble through playing lotteries to have a chance of crossing the threshold. One implication of this model is that income effects for individuals who choose to play lotteries are likely to be larger than for the general population. This in turn implies that estimating income effects through the random allocation of lottery winnings is likely to be a biased estimate of income effects of the broader population who chose not to gamble. Using UK data on lottery wins, other windfalls and durable good purchases, we show that lottery players display higher income effects than non-players but only amongst those likely to be credit constrained. This is consistent with credit constrained, risk-averse agents gambling in order to cross a purchase threshold and to convexify their budget set.

Suggested Citation

  • Thomas Crossley & Hamish Low & Sarah Smith, 2011. "Do consumers gamble to convexify?," IFS Working Papers W11/07, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:11/07
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    Cited by:

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    2. Abbi M Kedir & Richard Disney & Indraneel Dasgupta, 2011. "Why use ROSCAs when you can use banks? Theory, and evidence from Ethiopia," Discussion Papers in Economics 11/32, Division of Economics, School of Business, University of Leicester, revised Jun 2011.
    3. Atalay, Kadir & Bakhtiar, Fayzan & Cheung, Stephen & Slonim, Robert, 2014. "Savings and prize-linked savings accounts," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 86-106.
    4. Appelbaum, Elie & Katz, Eliakim, 1981. "Market Constraints as a Rationale for the Friedman-Savage Utility Function," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 819-825, August.
    5. Francois R. Velde, 2018. "Lottery Loans in the Eighteenth Century," Working Paper Series WP-2018-7, Federal Reserve Bank of Chicago.
    6. Hamish Low & Costas Meghir, 2017. "The Use of Structural Models in Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 33-58, Spring.
    7. Roth, Paula, 2020. "Inequality, Relative Deprivation and Financial Distress: Evidence from Swedish Register Data," Working Paper Series 1374, Research Institute of Industrial Economics.
    8. Sylvan Herskowitz, 2021. "Gambling, Saving, and Lumpy Liquidity Needs," American Economic Journal: Applied Economics, American Economic Association, vol. 13(1), pages 72-104, January.

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    More about this item

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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